{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2012:BJLVH6CFLZBBZYDXFASIQZWBL5","short_pith_number":"pith:BJLVH6CF","canonical_record":{"source":{"id":"1208.4165","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2012-08-21T02:52:27Z","cross_cats_sorted":[],"title_canon_sha256":"87c0e1f4f3f8ccec98fe7d58261421462ff1658b2c82f3c55077f8f46ab86f9f","abstract_canon_sha256":"f4773d2b69605803c56cbf11f83198685a87b0ca4925a58f13a759c0a2141e47"},"schema_version":"1.0"},"canonical_sha256":"0a5753f8455e421ce07728248866c15f722886be83f0120a6a0bfd10f82748ba","source":{"kind":"arxiv","id":"1208.4165","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1208.4165","created_at":"2026-05-18T02:21:00Z"},{"alias_kind":"arxiv_version","alias_value":"1208.4165v1","created_at":"2026-05-18T02:21:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1208.4165","created_at":"2026-05-18T02:21:00Z"},{"alias_kind":"pith_short_12","alias_value":"BJLVH6CFLZBB","created_at":"2026-05-18T12:27:01Z"},{"alias_kind":"pith_short_16","alias_value":"BJLVH6CFLZBBZYDX","created_at":"2026-05-18T12:27:01Z"},{"alias_kind":"pith_short_8","alias_value":"BJLVH6CF","created_at":"2026-05-18T12:27:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2012:BJLVH6CFLZBBZYDXFASIQZWBL5","target":"record","payload":{"canonical_record":{"source":{"id":"1208.4165","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2012-08-21T02:52:27Z","cross_cats_sorted":[],"title_canon_sha256":"87c0e1f4f3f8ccec98fe7d58261421462ff1658b2c82f3c55077f8f46ab86f9f","abstract_canon_sha256":"f4773d2b69605803c56cbf11f83198685a87b0ca4925a58f13a759c0a2141e47"},"schema_version":"1.0"},"canonical_sha256":"0a5753f8455e421ce07728248866c15f722886be83f0120a6a0bfd10f82748ba","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:21:00.925567Z","signature_b64":"dVoTkPKXNPRUkL+kO14/5P7kXMdccCaz7XcgL34d+xhU894yFnCU04HrqEVv1Dga5iFhEPg3FDZ2I8hyunXYCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0a5753f8455e421ce07728248866c15f722886be83f0120a6a0bfd10f82748ba","last_reissued_at":"2026-05-18T02:21:00.924890Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:21:00.924890Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1208.4165","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T02:21:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"U5ICBjYUdh91P2qAzDNzXgH/ZU+Q/oB6MjLr20wH3KOqcd1YPg+X0ai0BYgFmR6+EsF84SczYB/eBpmhO1+vAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T01:41:03.029808Z"},"content_sha256":"8ea07e60c9a778f80352c7afe0c7341d0575311a495f3313cc2cb36dd952f4f4","schema_version":"1.0","event_id":"sha256:8ea07e60c9a778f80352c7afe0c7341d0575311a495f3313cc2cb36dd952f4f4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2012:BJLVH6CFLZBBZYDXFASIQZWBL5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The MADlib Analytics Library or MAD Skills, the SQL","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DB","authors_text":"Aleksander Gorajek, Arun Kumar, Caleb Welton, Christopher R\\'e, Daisy Zhe Wang, Eugene Fratkin, Florian Schoppmann, Joe Hellerstein, Kee Siong Ng, Kun Li, Xixuan Feng","submitted_at":"2012-08-21T02:52:27Z","abstract_excerpt":"MADlib is a free, open source library of in-database analytic methods. It provides an evolving suite of SQL-based algorithms for machine learning, data mining and statistics that run at scale within a database engine, with no need for data import/export to other tools. The goal is for MADlib to eventually serve a role for scalable database systems that is similar to the CRAN library for R: a community repository of statistical methods, this time written with scale and parallelism in mind. In this paper we introduce the MADlib project, including the background that led to its beginnings, and th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1208.4165","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T02:21:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OgYNa75BxqxtAA4fdfQ1TtNyMBazr9GzUcBbUvUR7ilBg5aRG64w3zGrJkv/+FwVzGsJZNjDQI+lYxPvronMCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T01:41:03.030162Z"},"content_sha256":"6683619662095018f751ec548d43c22753ce0ba6eb50a2a2233c9c9b51b3914d","schema_version":"1.0","event_id":"sha256:6683619662095018f751ec548d43c22753ce0ba6eb50a2a2233c9c9b51b3914d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BJLVH6CFLZBBZYDXFASIQZWBL5/bundle.json","state_url":"https://pith.science/pith/BJLVH6CFLZBBZYDXFASIQZWBL5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BJLVH6CFLZBBZYDXFASIQZWBL5/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-28T01:41:03Z","links":{"resolver":"https://pith.science/pith/BJLVH6CFLZBBZYDXFASIQZWBL5","bundle":"https://pith.science/pith/BJLVH6CFLZBBZYDXFASIQZWBL5/bundle.json","state":"https://pith.science/pith/BJLVH6CFLZBBZYDXFASIQZWBL5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BJLVH6CFLZBBZYDXFASIQZWBL5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2012:BJLVH6CFLZBBZYDXFASIQZWBL5","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"f4773d2b69605803c56cbf11f83198685a87b0ca4925a58f13a759c0a2141e47","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2012-08-21T02:52:27Z","title_canon_sha256":"87c0e1f4f3f8ccec98fe7d58261421462ff1658b2c82f3c55077f8f46ab86f9f"},"schema_version":"1.0","source":{"id":"1208.4165","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1208.4165","created_at":"2026-05-18T02:21:00Z"},{"alias_kind":"arxiv_version","alias_value":"1208.4165v1","created_at":"2026-05-18T02:21:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1208.4165","created_at":"2026-05-18T02:21:00Z"},{"alias_kind":"pith_short_12","alias_value":"BJLVH6CFLZBB","created_at":"2026-05-18T12:27:01Z"},{"alias_kind":"pith_short_16","alias_value":"BJLVH6CFLZBBZYDX","created_at":"2026-05-18T12:27:01Z"},{"alias_kind":"pith_short_8","alias_value":"BJLVH6CF","created_at":"2026-05-18T12:27:01Z"}],"graph_snapshots":[{"event_id":"sha256:6683619662095018f751ec548d43c22753ce0ba6eb50a2a2233c9c9b51b3914d","target":"graph","created_at":"2026-05-18T02:21:00Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"MADlib is a free, open source library of in-database analytic methods. It provides an evolving suite of SQL-based algorithms for machine learning, data mining and statistics that run at scale within a database engine, with no need for data import/export to other tools. The goal is for MADlib to eventually serve a role for scalable database systems that is similar to the CRAN library for R: a community repository of statistical methods, this time written with scale and parallelism in mind. In this paper we introduce the MADlib project, including the background that led to its beginnings, and th","authors_text":"Aleksander Gorajek, Arun Kumar, Caleb Welton, Christopher R\\'e, Daisy Zhe Wang, Eugene Fratkin, Florian Schoppmann, Joe Hellerstein, Kee Siong Ng, Kun Li, Xixuan Feng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2012-08-21T02:52:27Z","title":"The MADlib Analytics Library or MAD Skills, the SQL"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1208.4165","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:8ea07e60c9a778f80352c7afe0c7341d0575311a495f3313cc2cb36dd952f4f4","target":"record","created_at":"2026-05-18T02:21:00Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"f4773d2b69605803c56cbf11f83198685a87b0ca4925a58f13a759c0a2141e47","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2012-08-21T02:52:27Z","title_canon_sha256":"87c0e1f4f3f8ccec98fe7d58261421462ff1658b2c82f3c55077f8f46ab86f9f"},"schema_version":"1.0","source":{"id":"1208.4165","kind":"arxiv","version":1}},"canonical_sha256":"0a5753f8455e421ce07728248866c15f722886be83f0120a6a0bfd10f82748ba","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0a5753f8455e421ce07728248866c15f722886be83f0120a6a0bfd10f82748ba","first_computed_at":"2026-05-18T02:21:00.924890Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:21:00.924890Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dVoTkPKXNPRUkL+kO14/5P7kXMdccCaz7XcgL34d+xhU894yFnCU04HrqEVv1Dga5iFhEPg3FDZ2I8hyunXYCg==","signature_status":"signed_v1","signed_at":"2026-05-18T02:21:00.925567Z","signed_message":"canonical_sha256_bytes"},"source_id":"1208.4165","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8ea07e60c9a778f80352c7afe0c7341d0575311a495f3313cc2cb36dd952f4f4","sha256:6683619662095018f751ec548d43c22753ce0ba6eb50a2a2233c9c9b51b3914d"],"state_sha256":"95433f1997bf011d01c135d148828d695598b12b7dd4edf96659b26364dea41f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"53cT6wSB8kdzx8twwQlvWgbgje9HhdlBcU47Zul5GW2RerdpgJRoa8Osq8py3W5gfHzCW0ZXUmYCcU6q7luHCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T01:41:03.032156Z","bundle_sha256":"729a80858c23fee034e87e451cca4df2a8c52cf5c8de56a9e6d784ba477f958e"}}